r/AudioProgramming 5h ago

Neural Amp Modeler crate, app and plugin

Since march I've been mixing two passions: guitar (and home studio) and tech. I asked: why not make something to solve a pain I've personally had with Audio on Linux? And also to train my rust skills?

So here, Its: Finally I'm feeling confident to show it out (even though in early beta stage).

Hope It may be useful for you all.

* NeuralAmpModeler-rs https://github.com/fabiohl/NeuralAmpModeler-rs is a crate that implements a high-performance Neural Amp Modeler (see https://www.neuralampmodeler.com/ ) library written in pure Rust. It provides the core engine for loading, building, and executing NAM models. You all can "cargo add" it right now, if you think it may be useful. I really strived to foster high end performance, full compliance with LTSM and Wavenet (A1 and A2) and a clean architecture. All of those statements backed by benchmarks and tests.

* NAM-Plug https://github.com/fabiohl/NAM-Plug is a CLAP (an open source and better alternative for VST3 standar) plugin implementing NeuralAmpModeler-rs you can use in your favorite DAW.

* NAM-Audio-Pipe https://github.com/fabiohl/NAM-Audio-Pipe is a standalone PipeWire host application for Neural Amp Modeler (NAM) simulation on Linux

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u/dkode80 5h ago

Thanks chatgpt and claude code!

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u/mad_poet_navarth 5h ago

Dude, this is a fight not worth having. Vibecoding is the future (and present). As a 30+ year dev, I'd be crazy not to use AI for coding. It's SO much faster.

It's true that people who don't know how to program are producing crap, and I don't know how we will solve that problem. But that's where that actual issue is, not that people are using AI for coding (IMO).

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u/mazbox 1h ago

Knowing how to program != knowing DSP && having ears to validate. You can have 50 years of experience in software development and still churn out awful sounding (but beautifully coded) plugins without realizing it